Communication of partial or whole datasets based on criterion satisfaction

ABSTRACT

Various example embodiments relate to partial data transmission. A transmitter may receive at least one dataset for transmission. The dataset may be one of a plurality of datasets known to the transmitter and a receiver or to be signaled to the receiver. The transmitter may determine a first portion of the dataset. The size of the first portion may be determined based on a battery level indicator, a latency level associated with the dataset, a radio condition, or a network load. The receiver may recognize the dataset based on the first portion and/or at least one second portion transmitted by the transmitter. Apparatuses, methods, and computer programs are disclosed.

BACKGROUND

Various example embodiments generally relate to the field of datacommunications. In particular, some example embodiments relate totransmission of partial information to reduce power consumption. Invarious data communication applications is desired to minimize energyconsumption to enable devices to operate for a long time without accessto an external energy source. For example, internet-of-things (IoT)devices may be configured to operate independently, for example togather information and transmit the information periodically to anotherdevice such as for example a server or another IoT device.

SUMMARY

This summary is provided to introduce a selection of concepts in asimplified form that are further described below in the detaileddescription. This summary is not intended to identify key features oressential features of the claimed subject matter, nor is it intended tobe used to limit the scope of the claimed subject matter.

Example embodiments provide a method for power efficient datatransmission. This benefit is achieved by the features of theindependent claims. Further implementation forms are provided in thedependent claims, the description, and the drawings.

According to an aspect, an apparatus comprises means for receiving, at atransmitter, at least one dataset for transmission to a receiver,wherein the dataset comprises at least one of a plurality of datasetsknown to the transmitter and the receiver or to be signaled to thereceiver; means for determining a first portion of the at least onedataset, wherein a size of the first portion is determined based on atleast one of: a battery level indicator, a latency level associated withthe dataset, a security level associated with the dataset, a radiocondition, or a network load; and means for transmitting the firstportion to the receiver.

According to an aspect, a method comprises receiving, at a transmitter,at least one dataset for transmission to a receiver, wherein the datasetcomprises at least one of a plurality of datasets known to thetransmitter and the receiver or to be signaled to the receiver;determining a first portion of the at least one dataset, wherein a sizeof the first portion is determined based on at least one of: a batterylevel indicator, a latency level associated with the dataset, a securitylevel associated with the dataset, a radio condition, or a network load;and transmitting the first portion to the receiver.

According to an aspect, a computer program comprises instructions forcausing an apparatus to perform at least the following: receiving, at atransmitter, at least one dataset for transmission to a receiver,wherein the dataset comprises at least one of a plurality of datasetsknown to the transmitter and the receiver or to be signaled to thereceiver; determining a first portion of the at least one dataset,wherein a size of the first portion is determined based on at least oneof: a battery level indicator, a latency level associated with thedataset, a security level associated with the dataset, a radiocondition, or a network load; and transmitting the first portion to thereceiver.

According to an aspect, an apparatus comprises at least one processorand at least one memory including computer program code, the at leastone memory and the computer code configured to, with the at least oneprocessor, cause the apparatus to at least perform: receiving, at atransmitter, at least one dataset for transmission to a receiver,wherein the dataset comprises at least one of a plurality of datasetsknown to the transmitter and the receiver or to be signaled to thereceiver; determining a first portion of the at least one dataset,wherein a size of the first portion is determined based on at least oneof: a battery level indicator, a latency level associated with thedataset, a security level associated with the dataset, a radiocondition, or a network load; and transmitting the first portion to thereceiver.

According to an aspect, a non-transitory computer readable mediumcomprising program instructions for causing an apparatus to perform atleast the following receiving, at a transmitter, at least one datasetfor transmission to a receiver, wherein the dataset comprises at leastone of a plurality of datasets known to the transmitter and the receiveror to be signaled to the receiver; determining a first portion of the atleast one dataset, wherein a size of the first portion is determinedbased on at least one of: a battery level indicator, a latency levelassociated with the dataset, a security level associated with thedataset, a radio condition, or a network load; and transmitting thefirst portion to the receiver.

According to an aspect, an apparatus comprises means for receiving, at areceiver, a first portion and/or at least one second portion of adataset from a transmitter; and means for recognizing the dataset basedon comparing the first portion and/or the at least one second portion toa plurality of datasets stored at the receiver.

According to an aspect, a method comprises receiving, at a receiver, afirst portion and/or at least one second portion of a dataset from atransmitter; and recognizing the dataset based on comparing the firstportion and/or the at least one second portion to a plurality ofdatasets stored at the receiver.

According to an aspect, a computer program comprises instructions forcausing an apparatus to perform at least the following: receiving, at areceiver, a first portion and/or at least one second portion of adataset from a transmitter; and recognizing the dataset based oncomparing the first portion and/or the at least one second portion to aplurality of datasets stored at the receiver.

According to an aspect, an apparatus comprises at least one processorand at least one memory including computer program code, the at leastone memory and the computer code configured to, with the at least oneprocessor, cause the apparatus to at least perform: receiving, at areceiver, a first portion and/or at least one second portion of adataset from a transmitter; and recognizing the dataset based oncomparing the first portion and/or the at least one second portion to aplurality of datasets stored at the receiver.

According to an aspect, a non-transitory computer readable mediumcomprising program instructions for causing an apparatus to perform atleast the following: receiving, at a receiver, a first portion and/or atleast one second portion of a dataset from a transmitter; andrecognizing the dataset based on comparing the first portion and/or theat least one second portion to a plurality of datasets stored at thereceiver.

Many of the attendant features will be more readily appreciated as theybecome better understood by reference to the following detaileddescription considered in connection with the accompanying drawings.

DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are included to provide a furtherunderstanding of the example embodiments and constitute a part of thisspecification, illustrate example embodiments and together with thedescription help to understand the example embodiments. In the drawings:

FIG. 1 illustrates an example of data communication between atransmitter and a receiver, according to an example embodiment;

FIG. 2 illustrates an example of a wireless communication network,according to an example embodiment;

FIG. 3 illustrates an example of an apparatus configured to practice oneor more example embodiments;

FIG. 4 illustrates an example of a method for partial data transmission,according to an example embodiment;

FIG. 5 illustrates an example of transmission of a whole dataset,according to an example embodiment;

FIG. 6 illustrates an example of transmission of a portion of a dataset,according to an example embodiment;

FIG. 7 illustrates an example of transmission of an additional portionof a dataset based on feedback from a receiver, according to an exampleembodiment;

FIG. 8 illustrates an example of a plurality of datasets and recognitionof a dataset at a receiver, according to an example embodiment;

FIG. 9 illustrates an example of a plurality of datasets and recognitionof a dataset at a receiver based on a signaled block location, accordingto an example embodiment;

FIG. 10 illustrates an example of a plurality of datasets, recognitionof a dataset, and updating the dataset with a new block at a receiver,according to an example embodiment;

FIG. 11 illustrates an example of definitions for signaling data,according to an example embodiment;

FIG. 12 illustrates an example of transmission of datasets based onsignaling data, according to an example embodiment;

FIG. 13 illustrates an example of messaging between a user equipment anda base station, according to an example embodiment;

FIG. 14 illustrates an example of a block diagram of an apparatus,according to an example embodiment;

FIG. 15 illustrates an example of a message log stored at an apparatus,according to an example embodiment;

FIG. 16 illustrates an example of method for partial data transmission,according to an example embodiment; and

FIG. 17 illustrates an example of method for partial data reception,according to an example embodiment.

Like references are used to designate like parts in the accompanyingdrawings.

DETAILED DESCRIPTION

Reference will now be made in detail to example embodiments, examples ofwhich are illustrated in the accompanying drawings. The detaileddescription provided below in connection with the appended drawings isintended as a description of the present examples and is not intended torepresent the only forms in which the present example may be constructedor utilized. The description sets forth the functions of the example andthe sequence of steps for constructing and operating the example.However, the same or equivalent functions and sequences may beaccomplished by different examples.

According to an example embodiment, a transmitter may receive at leastone dataset for transmission. The dataset may be one of a plurality ofdatasets known to the transmitter and a receiver. The transmitter maydetermine a first portion of the dataset. The size of the first portionmay be determined based on at least one of: a battery level indicator,for example a charge level of the battery, a latency level associatedwith the dataset, a security level associated with the dataset, a radiocondition, or a network load. The receiver may recognize the datasetbased on the first portion and/or at least one second portiontransmitted by the transmitter. Furthermore, the transmitter may receivefeedback indicating whether the receiver was able to recognize thedataset. Alternatively, absence of the feedback may be interpreted assuccessful recognition of the dataset, or as a request to transmitfurther data. Based on the received feedback, of absence thereof, thetransmitter may transmit one or more additional portions of the datasetor terminate transmission of the dataset.

FIG. 1 illustrates an example of data communication system 100comprising a transmitter 110 and a receiver 120. Even though devices 110and 120 are referred to as transmitter and receiver, it is understoodthat devices 110 and 120 may be configured for unidirectional and/orbidirectional connection(s). A device may therefore operate either as atransmitter or receiver or both as a transmitter and receiver.

Transmitter 110 and receiver 120 may be configured to communicate over anetwork 130. Network 130 may be any suitable wireless or wiredcommunication network, for example a cellular communication network suchas a 3G, 4G, or 5G network. In some example embodiments network 130 maycomprise a direct radio link between transmitter 110 and receiver 120such that a radio frequency signal is delivered from an antenna oftransmitter 110 to an antenna of receiver 120. It is however appreciatedthat example embodiments presented herein are not limited to theseexample networks and embodiments may be applied in any present or futurewireless or wired communication networks, for example other type ofcellular networks or short-range wireless networks such as Wi-Fi orBluetooth, or the like. In general, network 130 may comprise any meansfor enabling delivery of a signal from transmitter 110 to receiver 120.

Transmitter 110 may comprise for example a mobile phone, a smart phone,a tablet computer, a PDA (personal digital assistant), a laptop, a smartwatch, an internet of things (IoT) device, base station, remote radiohead (RRH), smart antenna, RFID device, WLAN access point, or the like.Examples of IoT devices include, but are not limited to, sensors, tags,wearables, consumer electronics, and smart home appliances. In oneexample, transmitter 110 may comprise a vehicle such as for example acar, an unmanned vehicle, unmanned autonomous vehicle, camera, bicycle,motorcycle, snowmobile, tractor, train, airplane, relay device,repeater, medical equipment, or a robot. In some example embodiments,such devices may alternatively, or additionally, include functionalityof receiver 120.

Receiver 120 may comprise a base station, an access point, a server, orthe like. Receiver 120 may alternatively comprise a mobile phone, asmart phone, a tablet computer, a PDA, a laptop, a smart watch, an IoTdevice, remote radio head (RRH), smart antenna, RFID device, WLAN accesspoint or the like. Communications between transmitter 110 and receiver120 may be therefore between any combination of handheld/mobile or fixeddevices. Receiver 120 may be further coupled to one or more otherdevices over a wireless or wired connection, or for example via theInternet, to deliver the information received from transmitter 110 tothe other device(s) for further processing. The receiver 120 maycomprise a vehicle such as for example a car, an unmanned vehicle,unmanned autonomous vehicle, camera, bicycle, motorcycle, snowmobile,tractor, train, airplane, relay device, repeater, medical equipment, ora robot.

FIG. 2 illustrates an example embodiment of a wireless communicationnetwork 200, which is provided as an example of network 130. Elements ofFIG. 2 may be associated for example with the Evolved UniversalTerrestrial Radio Access Network (E-UTRAN). The network 200 may compriseone or more core network elements such as for example MobilityManagement Entity (MME) and/or Serving Gateway (S-GW) functions 230 andone or more base stations, represented by eNBs 220. The eNBs areprovided as examples of receiver 120.

The network 200 may further comprise one or more client nodes,represented by UE 210, which is provided as an example of transmitter110. The UE 210 may be also referred to as user node. Alternatively, oradditionally, the UE 210 may be also configured to operate as receiver120. E-UTRAN may comprise a plurality of eNBs 220 that provide E-UTRANuser plane and/or control plane protocol terminations towards UE 210.User plane may be configured to communicate data according to one ormore protocol layers including, but not limited to, a packet dataconvergence protocol (PDCP) layer, a radio link control (RLC) layer, amedium access control (MAC) layer, and a physical (PHY) layer. Thecontrol plane may be configured to carry control data according to oneor more control protocols, for example a radio resource control (RRC)protocol. The eNBs 220 may communicate with each other over an X2interface. The eNBs 220 may be further coupled to the Enhanced PacketCore (EPC), for example one or more MME/S-GWs 230, over an S1 interface.The S1 interface may be configured to support a many-to-manyrelationship between MMEs/S-GWs 230 and eNBs 220. One or more of theeNBs 220 may form an access point (AP) or a base station. UE 210 may beconfigured to transmit payload data to the eNB(s) 220 as one or morebits or bit groups on the user plane at a particular transmission time.Associated control signaling and configuration information may becarried on the control plane.

MME/S-GWs 230 and eNBs 220 may be generally referred to as network nodesor network devices. Although depicted as a single devices, a networknode may not be a stand-alone device, but it may be implemented forexample as a distributed computing system coupled to a remote radiohead. For example, a cloud radio access network (cRAN) may be applied tosplit control of wireless functions to optimize performance and cost.

Network 200 may be alternatively configured for example in accordancewith the 5th Generation digital cellular communication network, asdefined by the 3rd Generation Partnership Project (3GPP). In oneexample, network 200 may operate according to or similar to one or morefunctions specified in 3GPP 5G-NR (5G New Radio) standard. For example,the network 200 may comprise one or more 5^(th) generation base stations(gNB) instead of eNBs 220. The network can be next generation i.e.6^(th) generation network.

FIG. 3 illustrates an example of an apparatus 300, for example thetransmitter 110 or receiver 120, such as for example UE 210, or a basestation such as for example an eNB 220. Apparatus 300 may comprise atleast one processor 302. The at least one processor may comprise, forexample, one or more of various processing devices, such as for examplea co-processor, a microprocessor, a controller, a digital signalprocessor (DSP), a processing circuitry with or without an accompanyingDSP, or various other processing devices including integrated circuitssuch as, for example, an application specific integrated circuit (ASIC),a field programmable gate array (FPGA), a microcontroller unit (MCU), ahardware accelerator, a special-purpose computer chip, or the like.

The apparatus may further comprise at least one memory 304. The memorymay be configured to store, computer program code 306, for exampleoperating system software and/or application software. The memory maycomprise one or more volatile memory devices, one or more non-volatilememory devices, and/or a combination thereof. For example, the memorymay be embodied as magnetic storage devices (such as hard disk drives,floppy disks, magnetic tapes, etc.), optical magnetic storage devices,or semiconductor memories (such as mask ROM, PROM (programmable ROM),EPROM (erasable PROM), flash ROM, RAM (random access memory), etc.).

Apparatus 300 may further comprise communication interface 308configured to enable apparatus 300 to transmit and/or receiveinformation, for example signals, messages, information, or data to/fromother devices. In one example, apparatus 300 may use communicationinterface 308 to transmit or receive information and data in accordancewith at least one communication protocol. The communication interface308 may be configured to provide at least one wireless radio connection,such as for example a 3GPP mobile broadband connection (e.g. 3G, 4G, 5G,6G, 7G, etc.). Alternatively, or additionally, the communicationinterface 308 may be configured to provide one or more other type ofconnections, for example a wireless local area network (WLAN) connectionsuch as for example standardized by IEEE 802.11 series or Wi-Fialliance; a short range wireless network connection such as for examplea Bluetooth, NFC (near-field communication), or RFID connection; a localwired connection such as for example a local area network (LAN)connection or a universal serial bus (USB) connection, or the like; or awired Internet connection. Communication interface 308 may comprise, orbe coupled to, at least one antenna or antenna array to transmit and/orreceive radio frequency signals. One or more of the various types ofconnections may be also implemented as separate communicationinterfaces.

Apparatus 300 may further comprise one or more sensors 310 forretrieving information at the environment of apparatus 300. The sensors310 may for example comprise at least one temperature sensor, at leastone camera, at least one microphone, at least one accelerometer, atleast gyroscope, at least one proximity sensor, or the like. In general,sensors 310 may comprise any device configured to detect informationassociated with apparatus 300. Information provided by the sensors 310may be stored in memory 304 and/or transmitted via the communicationinterface 308.

Apparatus 300 may further comprise, or be configured to be coupled to,at least one battery 312. Battery 312 may be configured to provide powerto other components of the apparatus 300. The apparatus 300 may comprisemeans for determining and providing an indication of a battery level,for example a charge level of the battery 312. The charge level of thebattery may be determined for example based on measuring a voltagebetween battery terminals. The apparatus 300 may further comprise a userinterface (not shown), for example to enable manual configuration of theapparatus. Apparatus 300 may further comprise circuitry for detectinglocation of apparatus 300, such as a GPS (Global Positioning System)receiver, or any other suitable means for determining the location.Location may be determined by apparatus itself, delivered from otherapparatus or in combination with apparatus 300 and other apparatus.Location may be determined by proximity detection when apparatus 300 isin predetermined distance or position compared to other correspondingapparatus or any other detection point capable to communicate withapparatus 300.

When the apparatus is configured to implement some functionality, somecomponent and/or components of the apparatus, such as for example the atleast one processor and/or the memory, may be configured to implementthis functionality. Furthermore, when the at least one processor isconfigured to implement some functionality, this functionality may beimplemented using program code 306 comprised, for example, in the memory304. Although apparatus 300 is illustrated as a single device it isappreciated that, wherever applicable, functions of apparatus 300 may bedistributed into a plurality of devices.

The functionality described herein may be performed, at least in part,by one or more computer program product components such as softwarecomponents. According to an embodiment, the apparatus comprises aprocessor or processor circuitry, such as for example a microcontroller,configured by the program code when executed to execute the embodimentsof the operations and functionality described. Alternatively, or inaddition, the functionality described herein can be performed, at leastin part, by one or more hardware logic components. For example, andwithout limitation, illustrative types of hardware logic components thatcan be used include Field-programmable Gate Arrays (FPGAs),application-specific Integrated Circuits (ASICs), application-specificStandard Products (ASSPs), System-on-a-chip systems (SOCs), ComplexProgrammable Logic Devices (CPLDs), Graphics Processing Units (CPUs).

The apparatus comprises means for performing at least one methoddescribed herein. In one example, the means comprises the at least oneprocessor, the at least one memory including program code configured to,when executed by the at least one processor, cause the apparatus toperform the method.

FIG. 4 illustrates an example of a method 400 for partial datatransmission, according to an example embodiment. The method may bestarted at 401, for example in response to receiving at least onedataset for transmission.

At 402, the transmitter 110 may determine whether both the transmitter110 (TX) and the receiver 120 (RX) are aware of a plurality of datasetsfrom which at least one dataset is to be communicated to the receiver120. If the plurality if datasets are not known to the transmitter 110and the receiver 120, the plurality of datasets may be signaled to thereceiver 120, before or after transmission of a first portion of thedataset. For example, the plurality of datasets may comprise a known setof identifiers of a plurality of products, for example serial numbers ofthe products. The transmitter 110 and the receiver 120 may bepreconfigured with the plurality of datasets or the information may beexchanged between the transmitter 110 and the receiver 120. For example,the transmitter 110 may initially transmit the plurality of datasets tothe receiver 120. The receiver 120 may receive the plurality of datasetsfrom the transmitter 110. A task of the transmitter 110 may be then toindicate one or more datasets of the plurality of datasets to thereceiver 120. For example, an IoT device may be configured to monitor aproduction line and to report when a product has passed a particularproduction line phase. The serial numbers of the products may be knownand the IoT device may be configured to indicate which of the knownproducts it has detected at a particular time.

At 403, the transmitter 110 may determine to transmit the at least onedataset to the receiver 120, for example in response to determining thatthe receiver 120 is not aware of the plurality of datasets. Hence, thetransmitter 100 may transmit the whole dataset to the receiver 120. Thetransmitter may further transmit signaling data indicating that thedataset is a whole dataset and/or that the dataset is an unknowndataset.

At 404, the transmitter 110 may determine whether at least one batterylevel criterion and/or other criterion is satisfied. Determining whetherthe at least one criterion is satisfied may be based on at least one of:a battery level indicator, a latency level associated with the dataset,a security level associated with the dataset, a radio link condition, ora network load. The battery level indicator may comprise at least oneof: a charge level of the battery, an estimated battery usage before acharging opportunity, an estimated battery usage for the transmission ofthe dataset, or an estimated battery usage under current operatingconditions of the transmitter 110. In general, the transmitter 110 maydetermine whether it has sufficient resources for transmitting the wholedataset. There can be also prioritization when battery level does notallow to transmit all datasets or dataset parts (data portion) waitingfor transmission, there can be prioritization between datasets, i.e.,some dataset may have higher priority (more relevant to send first) thananother dataset and may be therefore transmitted first. For example, thetransmitter 110 may determine a size of the first portion based on thebattery level indicator, the latency level, the security level, theradio condition, or the network load. The transmitter may select thefirst portion from the dataset based on a priority order of differentportions of the dataset.

An estimated battery usage before a charging opportunity may comprise anestimate of a change in the charge level of the battery 312 or anestimate of a power consumption until the next charging opportunity.Estimated time until the charging opportunity may be determined based oncharging history, current location, and/or location history of thetransmitter 110, and/or battery consumption in current radio conditions.For example, if more transmission power is needed in weak radioconditions, the transmitter 110 may determine the estimated batteryusage to be higher. In addition, when during some part of the day thereis a rush or high load in the network, the transmission can be done whenno rush or less load is expected, if the dataset can wait handling andtransmission. For example, an IoT device may know the time for nextcharging, or change of battery, based on earlier behavior, for example arecurring charging schedule. Also, the IoT device may determine based onits geographical position that a charging opportunity will be soonavailable and operate accordingly. For example, availability of chargingopportunity may be determined based on current location, for exampledetecting the current location to be near a predetermined location suchas for example home, office, cafeteria, or the like. The IoT device mayalso get signaling information indicating when (e.g. a time instant) itsbattery is to be changed or charged. For example, a serviceman or anydevice capable to communicate with IoT device can send or signalinformation to the IoT device indicating that the battery is to bechanged 21.2.2020 at 10 PM. Alternatively, the IoT device can send asignaling part within the data portion indicating that battery chargingor changing is requested. According to another example, the IoT devicemay typically operate at a fixed place. However, when the IoT device ismoving, the IoT device may determine that its battery is going tocharged or changed. The movement may be interpreted as an indication ofa charging opportunity being available soon. The IoT device may alsolearn from its earlier charging behavior with respect to geographicalposition. Alternatively, the estimated time to the charging opportunitymay be determined based on a predetermined charging time instant or aplurality of periodical charging time instants. For example, the user ofthe IoT device may be enabled to configure a charging schedulecomprising indications of one or more charging times. If the batterylevel is below a threshold or there's no charging opportunity expected,the transmitter 110 may determine not to transmit the whole dataset.When the IoT device is in solar charging (e.g. using solar panel), itcan take weather conditions into account in partial transmission. Whenthere is sunny weather and battery charging goes well, the data portionsize from dataset to be transmitted can be adjusted accordingly. The IoTdevice may also take weather forecast into account for example, anestimate of a charging opportunity may be determined based on a forecastindicating a sunny weather. Hence, future weather forecasts may affectthe data portion size. Weather forecasts may be signaled to the IoTdevice, for example using weather signaling bits as follows: Forexample, three bits: 000, 001, 010, 011, 100, 101, 110, 111 may giveindicate forecasts for four days. MSB=0 may indicate “no sun”. MSB=1 mayindicate “sun”. LSBs=00 may indicate a day, for example “tomorrow”.LSBs=01 may indicate another day, for example “the day after tomorrow”Alternatively, MSB=0 may indicate “tomorrow”, MSB=1 may indicate “theday after tomorrow”. LSBs=00 may indicate “cloudy”, LSBs=01 may indicate“half cloudy”, LSBs=10 may indicate “75% sunny”, and/or LSBs=11 mayindicate “fully sunny”. Therefore, the IoT device may estimate futurecharging opportunity based on weather and adjust data portion size to betransmitted accordingly. Other parameters which may reflect toadjustments may be for example, day-time or night-time lengths andtemperature.

The estimate of battery usage for the transmission of the dataset may bedetermined based on size of the dataset and/or characteristics of thecurrent radio link, for example the required transmission power. Iftransmission of the whole dataset is determined to cause excessivebattery usage, the transmitter 110 may determine not to transmit thewhole dataset. In this case also, prioritization for transmission may beapplied, for example the most important dataset may be taken underhandling and transmission first.

Furthermore, the battery level indicator may comprise estimated batteryusage under current operating conditions of the apparatus. The operatingconditions may or may not relate to transmission of the dataset. Forexample, if there are a predetermined number of applicationssimultaneously running and/or current power consumption of thetransmitter 110 exceeds a threshold, the transmitter 110 may determinenot to transmit the whole dataset. Furthermore, if the heat of thetransmitter 110 exceeds a threshold, the transmitter 110 may determinenot to transmit the whole dataset. The heat may be one criterion whenselecting the size of the first and/or the at least one second portionfrom the dataset.

However, if any the battery level related criteria are not satisfied,for example battery level is above a threshold and/or current powerconsumption is below a threshold, the transmitter 110 may determine totransmit the whole dataset.

Alternatively, or additionally, transmitter 110 may use one or moreother criteria for determining whether to transmit the whole dataset ofportions(s) of the dataset. According to an example embodiment, thetransmitter 110 may determine to transmit the dataset in response todetermining that an estimate of a required capacity for transmitting thefirst portion and at least one second portion exceeds an estimate of arequired capacity for transmitting the dataset. For example, thetransmitter 110 may estimate a required transmission capacity forpartial transmission of the dataset to exceed the capacity needed fortransmitting the whole dataset. This may be for example due toadditional signaling load associated with transmitting the dataset inmultiple portions. This may also be due to additional power consumptionwhen switching the transmitter from an OFF state to an ON state againfor the further transmission(s). This may also be due to additionaltransmitter and/or transmitter receiver part ON state time betweentransmissions, for example when waiting whether a next portion needs tobe transmitted.

At 403, the transmitter 110 may transmit the whole dataset.

FIG. 5 illustrates an example of transmission of a whole dataset,according to an example embodiment. The transmitter 110 may receive adataset 502 for transmission. Based on the battery level indicator, forexample the charge level of the battery being at 80%, the transmitter110 may determine to transmit the whole dataset 110 to receiver 120.Since the whole dataset is transmitted, the receiver 120 is able torecognize the received dataset from the plurality of datasets known toreceiver 120. This enables the dataset to be quickly communicated to thereceiver, when the charge level of the battery is above a threshold.

Referring back to FIG. 4, at 405 the transmitter may split the datasetinto a plurality of portions, for example blocks. Splitting the datainto the portions may be in response to determining that the at leastone battery level criterion is satisfied.

According to an example embodiment, the transmitter 110 may determine afirst portion of the at least one dataset. Size of the first portion maybe determined based on the at least one battery level indicator. Forexample, the size of the first portion may be proportional to the chargelevel of the battery, inversely proportional to the estimated time tothe charging opportunity, or proportional to an amount of data to betransmitted or an estimate of the amount of data to be transmitted. Thisenables the transmitter to reduce power consumption since the receiver120 may be able to recognize the dataset based on the first portion. Theestimate of the amount of data to be transmitted may be determined forexample based an amount of data in a transmission buffer of thetransmitter 110 or an amount of data scheduled for or expected at aparticular time. Proportional may refer to obtaining the size of thefirst portion based on any suitable increasing function of the chargelevel of the battery. The function may be a linear or a non-linearfunction. In a similar fashion, inversely proportional may refer toobtaining the size of the first portion based on any suitable decreasingfunction of the time to the charging opportunity. In addition, the sizeof the first portion may be determined based on latency requirements ofthe dataset, for example a latency level associated with the dataset.Particular dataset may have tighter latency requirement than otherdataset(s). If latency requirement is high meaning shorter transmissiontime, the dataset may be split into shorter size portions than anotherdataset that has lower latency requirement. When portion size issmaller, the transmission time is shorter and hence the datasetawareness is achieved sooner. If there are a plurality of high latencyrequirement datasets, there is a possibility to get thru awareness fromseveral datasets using same amount of time, compared to using longerportions of the datasets. This may be useful for example in criticalmachine communication, for example communication that belongs to socalled URLLC (Ultra Reliable Low Latency Communication) category, whichmay require instant actions. The size of the data portion(s) may bedetermined based on the following rule: tighter latency requirement maycause a shorter portion of the dataset to be selected, and vice versa.This may be useful for autonomic vehicle traffic, for example. Inaddition, splitting a dataset to smaller portions may be useful also foran ultra low cost massive machine communication category, where batterylife requirement is long, such as for example 10 years. The size of thedata portion(s) may be determined based on the following rule: longerbattery live requirement may cause a shorter portion of the dataset tobe selected, and vice versa.

The size of the first portion may be for example determined based on aplurality of battery level thresholds mapped to a correspondingplurality of data portion sizes. For example, when the charge level ofthe battery is 20%, the transmitter 110 may determine to divide thedataset into five portions. Furthermore, when charge level of thebattery is 40% or 60%, the transmitter 110 may determine to divide thedataset into four or three portions, respectively. The portions may beof equal size. The portions may have also different sizes, for exampledynamically changed between transmissions when optimizing total bit sizeto be transmitted compared to dataset size. At or above 80%, thetransmitter may determine to transmit the whole dataset, as illustratedin FIG. 5. In another example, battery level thresholds 100%, 75%, 50%,25%, may be mapped to whole dataset, ½ of the dataset size, ¼ of thedataset size, and ⅛ of the dataset size, respectively. Battery levelsbelow 25% may be mapped to 1/16 of the dataset size.

At 406, the transmitter 110 may select the first portion of the datasetfor transmission and/or determine signaling data to be transmitted alongwith the first portion of the dataset. Selecting the first portion maycomprise selecting size of the first portion and location of the firstportion within the dataset. The first portion of the dataset may be forexample selected starting from a particular direction, for example left,right, LSB (least significant bit), or MSB (most significant bit).However, the portion may be also selected based on data contentsurrounding the selected first portion, as will be further discussed inrelation to FIG. 11 and FIG. 12. The first portion may be determinedsuch that the first portion is unique within the plurality of datasets.This enables the receiver 120 to recognize the dataset based on thefirst portion. Alternatively, the first portion may be determined suchthat the first portion is unique within corresponding portions of theplurality of datasets, as will be further discussed in relation to FIG.9. It is noted that even if some example embodiments have been describedusing bit strings or hexadecimal symbol sequences as examples, thedatasets can take various other formats such as for exampletwo-dimensional matrices or multi-dimensional tensors. For example, incase of volumetric video or image content, the first portion maycomprise a sub-volume inside an object included in the volumetriccontent.

At 406, the transmitter 110 may further determine signaling data. Thesignaling data may in general comprise information that assists thereceiver 120 in recognizing the received dataset. For example, thesignaling data may comprise an indication of a location of the firstportion in the dataset. The indication of the location may comprise anindex or an order number of the first portion within the dataset. Theindication of the location may further comprise a total number ofportions in the dataset and/or size(s) of the portions.

At 407, the transmitter 110 may transmit the first portion to thereceiver 120. The transmitter 110 may also transmit the signaling datato the receiver 120. For example, the transmitter 110 may transmit theindication of the location of the first portion in the dataset.

FIG. 6 illustrates an example of transmission of a portion of a dataset,according to an example embodiment. Based on the at least one batterylevel indicator, for example the charge level of the battery being at20%, the transmitter 110 may divide the dataset into five portions.Furthermore, the transmitter 110 may transmit a first portion 601. Thetransmitter 110 may further transmit an index “2” of the first portion601 within the dataset. Alternatively, the transmitter 110 may transmitan indication of the index and the total number of portions in thedataset “2/5”, as illustrated in FIG. 6. If the first portion 601 isunique within the plurality of datasets or within the indicatedlocations of the plurality of datasets, receiver 120 may recognize thedataset based on the first portion and the transmitter 110 may terminatetransmission of the dataset. For example, the transmitter 110 mayrefrain from transmitting the four other portions of the dataset.

Referring back to FIG. 4, at 408 the transmitter 110 may determinewhether additional portions are to be transmitted. The transmitter 110may for example receive feedback from the receiver 120. The transmitter110 may be further configured to perform at least one operation based onthe feedback, or absence of the feedback. The at least one operation mayfor example comprise transmitting at least one second portion of thedataset or terminating transmission of the dataset.

The feedback may comprise a request to transmit at least one secondportion of the dataset. The receiver 120 may be configured to receivethe first portion of the dataset and recognize the dataset based oncomparing the first portion to the plurality of datasets. However, itmay not be possible to recognize the dataset based on the first portion.The receiver 120 may therefore transmit the request to transmit at leastone second portion of the dataset, for example in response todetermining that the first portion is not unique within the plurality ofdatasets. The receiver 120 may for example determine that the datasetcan not be distinguished from the plurality of known datasets based onthe first portion and that more data is needed for recognizing thedataset. The first portion may be for example corrupted on radiotransmission path and therefore it may not be possible to identify ordecode it at the receiver side. Subsequent second portion and possiblefurther portions may make dataset as known to the receiver. In responseto receiving the request, the transmitter 110 may determine to transmitat least one second portion of the dataset. For example, the transmittermay move back to operations 406 and/or 407 to select and/or transmit atleast one second portion of the dataset, optionally along withassociated signaling data. In addition, it is possible to use transmitdiversity when the transmitter 110 has a plurality of antennas. Forexample, the first portion may be transmitted via antenna 1 (or beam 1).The second portion may be transmitted via antenna 2 (or beam 2). If theantenna 1 transmission does not reach the receiver 120 but the antenna 2transmission does reach the receiver 120, the dataset may be recognizedfrom the second portion. The certain antenna (or beam) may haveindividual identification, for example the antenna 1 (or beam 1) mayhave ID=1 and the antenna 2 (or beam 2) may have ID=2. There may be arule known both to transmitter 110 and the receiver 120, which mayindicate that when data portion 1 comes from the antenna 1 or beam 1(ID=1) the data portion 1 belongs to dataset 1. And, when data portion 1comes from the antenna 2 or beam 2 (ID=2) the data portion belongs todataset 2. It is also possible to make differentiation between datasetsusing different antennas or beams. Note that amount of antennas or beamsmay follow indexing; Antenna 1 (or beam 1), Antenna 2 (or beam 2), . . ., Antenna N (or beam N). In addition, data portions may be transmittedusing spatial multiplexing i.e. MIMO principles.

Alternatively, the feedback may comprise an indication of a successfulrecognition of the dataset. The receiver 120 may transmit the indicationof the successful recognition of the dataset, for example in response todetermining that the first portion is unique within the plurality ofdatasets. The receiver 120 may determine that the dataset can berecognized and more data is not needed. In response to receiving theindication of the successful recognition of the dataset, the transmitter110 may terminate transmission of the dataset. For example, thetransmitter may refrain from transmitting further portions of thedataset.

Alternatively, the receiver 120 may be configured to refrain fromtransmitting the feedback, either in response to determining that thefirst portion is unique within the plurality of datasets or in responseto determining that the first portion is not unique within the pluralityof datasets. This enables to reduce the amount of data traffic. Thetransmitter 110 a may be for example configured to interpret absence ofthe feedback as a request to transmit at least one second portion of thedataset or as an indication of the successful recognition of thedataset. The signaling data may comprise an indication of a requestedfeedback configuration for the receiver 120. For example, thetransmitter 110 may request the receiver not to transmit feedback if thedataset can not be recognized. Alternatively, the transmitter 110 mayrequest the receiver to transmit feedback, if the dataset can not berecognized.

According to an example embodiment, the feedback may comprise a requestto decrease the size of the data portions. This enables the receiver 120to control its power consumption. The receiver 120 may transmit therequest for smaller data portions, for example in response to at leastone battery level indicator similar to that of transmitter 110. Inaddition, the request may be applied to decrease the size of dataportions in the case that receiver identifies tighter latencyrequirement for a dataset or a plurality of datasets.

At 408, the transmitter may alternatively determine whether additionalportion(s) are to be transmitted regardless of the feedback, or absencethereof. According to an example embodiment, the transmitter 110 maydetermine to transmit the at least one second portion, in addition tothe first portion, for example in response to determining that the firstportion is not unique within the plurality of datasets and that acombination of the first portion and the at least one second portion isunique within the plurality of datasets. This enables to ensure thatreceiver 120 has sufficient amount of data for recognizing the dataset.This also enables to avoid or reduce transmission of the feedback.

The transmitter 110 may move from operation 408 directly to operation407, for example if the at least one second portion and/or associatedsignaling date were already determined at 406 before transmission of thefirst portion. Alternatively, the transmitter 110 may move to operation406 to determine the at least one second portion and/or the associatedsignaling data. At 406 and 407, similar operations may be performed forthe at least one second portion. The transmitter 110 may iterateoperations 406 and/or 407 and 408 until the transmitter 110 determinesthat the receiver 120 has successfully recognized the dataset, forexample based on the feedback or absence of the feedback.

According to another example embodiment, the transmitter 110 maydetermine whether to transmit the whole dataset or apply partial datatransmission after splitting the data into the portions. This may bebased on for example an estimated battery usage for transmission of thefirst portion at current radio conditions and/or at current network loadlevel. The transmitter 110 may for example determine that under currentradio conditions and/or network load level the transmission of the firstportions would cause battery usage to exceed a threshold. In response,the transmitter 110 may determine to transmit the whole dataset insteadof the first portion.

At 409, the method may be ended, for example in response to determiningat 408 that no further portions are to be transmitted or in responsetransmission of the whole dataset at 403.

FIG. 7 illustrates an example of transmission of an additional portionof a dataset based on feedback from a receiver, according to an exampleembodiment. Based on the at least one battery level indicator, forexample the charge level of the battery being at 20%, the transmitter110 may divide the dataset into five portions, similar to FIG. 6.Furthermore, the transmitter 110 may transmit a first portion 701. Thetransmitter 110 may further transmit an index “2” of the first portion701 within the dataset. Alternatively, the transmitter 110 may transmitan indication of the index and the total number of portions in thedataset “2/5”, as illustrated in FIG. 7. If the first portion 701 is notunique within the plurality of datasets or within the indicatedlocations of the plurality of datasets, receiver 120 can not recognizethe dataset based on the first portion. The receiver 120 may providefeedback to transmitter 110 to request another portion of the dataset tobe transmitted. In response to receiving the feedback, the transmittermay transmit a second portion 702 of the dataset. The transmitter 110may further transmit an index “3” of the second portion 702 within thedataset or an indication of the index and the total number of portionsin the dataset “3/5”, as illustrated in FIG. 7. According to an exampleembodiment, the transmitter may indicate the index and the total numberof portions for the first portion and indicate the index of the secondportion without the total number of portions for the second portion.This enables to reduce the amount of signaling data.

In addition, there can be an option that after first portion “2/5” theremay be a predetermined rule (known both transmitter and receiver) thatthe next portion, e.g. the second portion, to be transmitted is situatedat index i+n or index i−m in relation to the first portion, for example“2/5”. Index i may indicate place of the first portion. In one example,n=1, 2, 3 and m=1. Values for n and m may depend on total amount ofportions in the dataset and used value for n or m may depend on how itis agreed in the predetermined rule. When determining that first portion“2/5” didn't make a difference between two datasets, the second portionmay follow the rule i+1 and the receiver 120 may determine that thesecond portion is “3/5”.

According to an example embodiment, transmission of the feedback may bebased on a priority level of the dataset. The priority level maycomprise a binary indication of priority or no priority. Alternatively,the priority may comprise a plurality of priority levels such as forexample a priority order among the plurality of datasets. Thetransmitter may request the receiver 120 to operate according to aparticular feedback configuration based on the priority level of thedataset subject to transmission. For example, if priority level of adataset is above or at a threshold, the receiver 120 may be requested totransmit the feedback. The feedback may comprise an indication that moredata is requested and/or that enough data has been already transmitted.For lower priority datasets the transmitter may not request the receiverto provide the feedback. At the receiver 120, a dataset with a lowerpriority may be derived based on one or more successfully receivedhigher or lower prioritized datasets, if the datasets are related toeach other.

According to an example embodiment, the receiver 120 may determinewhether to transmit the feedback based on the battery level indicator atreceiver 120. For example, the receiver 120 may be configured totransmit the feedback if the charge level of its battery is above athreshold. Transmission of the feedback may therefore be dependent onthe battery level, optionally in combination with the priority of thedataset. Transmission of the feedback may be further dependent on thebattery level of the transmitter 110. The receiver 120 may determine thebattery level of the transmitter 110 for example based on the size ofthe data portion(s) received. If the size is lower than a threshold, thereceiver 120 may determine not to transmit feedback, for example toavoid consuming power at the transmitter 110 for receiving the feedback.If the receiver 120 was not able to recognize the dataset based on thereceived portion(s), the receiver 120 may determine to postponetransmission of the feedback, if the battery level of the receiver 120or the transmitter 110 is determined to be low or the current radioconditions would cause excessive power consumption with respect to thecurrent battery level(s). Transmission of the feedback may be postponeduntil next charging availability or until the radio conditions arebetter. In this example embodiment, the successful reception of thedataset may be acknowledged by transmitting feedback including acorresponding indication.

According to an example embodiment, the transmitter 110 or the receiver120 may derive and provide maintenance related information based on thepartial transmission process. For example, if the transmitter 110estimates the battery level of the receiver 120 to be low, for examplebased on absence of the indication that the dataset was successfullyreceived, the transmitter 110 may transmit an indication of the lowbattery level to a server, or other entity, for example in order torequest a serviceman to check the battery level of the receiver 120.Alternatively, or additionally, if the receiver 120 estimates thebattery level of transmitter 110 to be low, the receiver 120 maytransmit an indication of the low battery level in a similar fashion.The receiver 120 may determine or estimate the battery level oftransmitter 110 to be low based on size of received data portion(s), forexample if the data portion size decreases or has decreased or changesbetween the received data portions. For example, if the first dataportion is 20% of the dataset and after feedback a second portion is 10%of the dataset, it may indicate the reduction of power level oftransmitter 110.

As discussed above, a dataset may be divided into a plurality ofportions. In one example, a hexadecimal dataset representing a serialnumber of a product may be divided into ten portions. Each product maybe associated with an individual serial number. For example, Product 1may have a serial number divided into following portions: “0FEC1AB”,“1111111”, “3ACD101”, “FFEF105”, “CABFEFD”, “0024678”, “7ABCDEF”,“FEDCBA0”, “010101A”, and “ABBAFFC. In this example, size of eachportion is 7 hexadecimal symbols. For example, an IoT device may beconfigured to monitor passing products on a production line. The IoTdevice may send portion “ABBAFFC” to a server. The server may receivethe portion “ABBAFFC” from the IoT device and compare the receivedportion “ABBAFFC” and the first data part “ABBAFFC” in its memory. Theserver may find a match with Product 1. In this example, no further dataneeds to be transmitted because the server is able to recognize thehexadecimal dataset based on the received portion “ABBAFFC”. However, ifsome other product has similar serial number portion “ABBAFFC”, theserer may request the IoT device to provide another portion of thedataset in order to find a differentiating portion. In addition, the IoTdevice may monitor passing traffic on a roadway and recognize vehiclenames and their colors. In this example, the partial data may comprise acar logo and a color pixel. Another option may be a part of side picturefrom front and rear end, from which the accurate car name and model maybe derived.

The production line may be equipped with a plurality of IoT devices,each corresponding to a particular phase of the production line. Theserver may determine the production line phase associated with therecognized dataset based on the identity of the IoT device. Anidentifier of the IoT device, or in general transmitter 110, may be forexample included in the signaling data.

A benefit of partial data transmission is that it may ensure securetransmission of the dataset because only the first portion may need tobe transmitted and the intended receiver may detect the dataset based onthe first portion. If a third party (e.g. an illegal user) sniffs thefirst portion from radio path, the third party can not recognize thedataset due to lack of awareness of the whole dataset. Only the intended(legal) user who is aware of the whole dataset may recognize the datasetbased on the first portion. Therefore, the example embodiments may bealso used to improve security. For example, the size of the first and/orat least one second portion may be determined based on a security levelassociated with the dataset. A smaller size may be selected for datasetsassociated with a higher security level. A higher size may be allowedfor datasets associated with a lower security level.

FIG. 8 illustrates an example of a plurality of datasets and recognitionof a dataset at a receiver, according to an example embodiment. FIG. 8illustrates four datasets “ABCDEFGHIJ”, “KLMNOPQRST”, “UVXYZÅÄÖ12”, and“123456789T”. Each dataset has been divided into ten portions, eachportion being represented by a letter or digit.

According to a first example, the transmitter 110 may send “F” as thefirst portion. In response to receiving the first portion “F”, thereceiver 120 may perform receiver correlation. For example, the receiver120 may start to correlate the first portion “F” with respect to eachdataset, for example from the right with respect to portions 1 to 5 ofeach dataset. The receiver 120 may not find a match with any datasetsuntil the fifth portion of Dataset 1. After detecting a match withDataset 1, the receiver 120 may determine whether there are othermatches. If not, the receiver 120 may recognize the Dataset 1 based onthe first portion “F”. In this example, the required data transmissioncapacity is 1/10 of the capacity required for transmitting the wholedataset.

According to a second example, the transmitter may send “T” as the firstportion. In response to receiving the first portion “T”, the receiver120 may perform receiver correlation. For example, the receiver 120 maystart to correlate the first portion “T” with respect to each datasetfrom the right. The receiver 120 may find matches with the firstportions of Datasets 2 and 4. The receiver 120 may further determinethat the first portion “T” is not unique within the datasets and requestthe transmitter 110 to transmit a second portion. In response, thereceiver 120 may determine that more data is needed. Subsequently, thetransmitter 110 may transmit “S” as the second portion. In response toreceiving the second portion “S”, the receiver 120 may perform anotherreceiver correlation. For example, the receiver 120 may start tocorrelate the second portion “S” with respect to each dataset or asubset of datasets, for example the subset of Datasets 2 and 4, whichthe receiver 120 was not able to distinguish based on the first portion.The receiver 120 may find a match with the second portion of Dataset 2.After detecting a match with Dataset 2, the receiver 120 may determinewhether there are other matches for “S” in the datasets or the subset ofdatasets. If not, the receiver 120 may recognize the Dataset 2 based onthe second portion “S”. In this example, the required data transmissioncapacity is ⅕ of the capacity required for transmitting the wholedataset.

FIG. 9 illustrates an example of a plurality of datasets and recognitionof a dataset at a receiver based on a signaled block location, accordingto an example embodiment. In this example, the transmitter 110 maytransmit “Ö” as the first portion. The transmitter may further transmitan indication of the index “3” or the index and the total number ofportions “3/10”, which may be also called blocks. In response toreceiving the first portion and the signaled location, the receiver mayperform receiver correlation at the signaled block location. Forexample, the receiver 120 may correlate the first portion “Ö” with thedatasets at the signaled location “3” or “3/10”. The receiver 120 maynot find correlation with the third blocks “H”, “R”, and “8” of theDatasets 1, 2, and 4, but detects a match with Dataset 3. In thisexample, the required data transmission capacity is slightly above 1/10of the capacity required for transmitting the whole dataset, dependingon the amount of signaling data with respect to the size of the wholedataset.

FIG. 10 illustrates an example of a plurality of datasets, recognitionof a dataset, and updating the dataset with a new block at a receiver,according to an example embodiment. From time to time the transmitter110 may receive data, which is associated with one of the plurality ofdatasets, but which is not initially included in the dataset. However,example embodiments provide an efficient method for updating at leastone of the plurality of datasets based on the partial data transmission.The transmitter may transmit as the first portion a new portion “NEW”,which is not initially associated with Dataset 2, or any other dataset.Since the receiver 120 is not aware of this portion, it may not find amatch with any of the Datasets 1 to 4. The receiver may however storethe first portion “NEW”. The receiver 120 may request another portion tobe transmitted, or, refrain from transmitting feedback in order to keepthe transmitter 110 transmitting further portions. The transmitter 110may further transmit an indication that the first portion “NEW” is a newportion not initially associated with the dataset. This enables thereceiver 120 to determine that further portion(s) are needed withouttrying to correlate the first portion “NEW” with the datasets, whichreduces power consumption and required processing power at the receiverand also enables the receiver to provide the feedback faster.

According to an example embodiment, a plurality of servers, which may befor example located around the world, may share their information witheach other about identified new datasets such that the new datasets areavailable at each server when receiving data portions. For example, inresponse to identifying a new dataset, Server 1 may send it to Server 2,Server 3, . . . , and/or Server N, which may update their datasetsaccordingly. Servers may be connected to each other via Internet, forexample. This approach reduces transmissions of whole datasets from IoTdevices and accelerates dataset collection process at server side.Servers may be located at various countries.

In response to feedback from receiver 120, or absence of the feedback,the transmitter 110 may transmit a second portion “K” to the receiver120. The receiver 120 may find a match with Dataset 2 and determine that“K” is unique within the plurality of datasets. In response torecognizing the dataset, the receiver 120 may associate the new portionwith the recognized dataset. For example, the receiver 120 may updatethe Dataset 2 with the new portion and store the updated Dataset 2. Thereceiver 120 may provide feedback to transmitter 110 indicating thatDataset 2 has been updated. The previous Dataset 2 may be removed fromthe memory or kept and labeled as a previous version of Dataset 2. Infollowing transmissions, the transmitter 110 may divide the updateddataset into different portions depending on various conditions such asfor example the battery level indicator.

Instead, or in addition to, transmitting a new portion as illustrated inFIG. 10, the transmitter 110 may be configured to indicate deviationfrom the known set of datasets using partial data transmission. If onedata portion of a dataset has changed after last transmission, thetransmitter 110 may transmit the changed portion as the first portion.The receiver 120 may identify the first portion as an unknown portion.The receiver 120 may further request additional portion(s) to betransmitted. When transmitter 110 transmits a second portion, which isknown to the receiver 120, the receiver 120 may identify the datasetbased on the second portion. The signaling data may indicate a locationof the changed portion. Based on the signaled location of the changedportion, the receiver 120 may update the indicated portion with theunknown data. Alternatively, the unknown first portion and at least oneknown second portion may be transmitted in one transmission.

According to an example embodiment, the first portion may comprise a keyfor a blockchain network. The key may lead to the right dataset which islocated in the blockchain. Such dataset awareness may be made known tothe receiver 120 for example by sending the key from the transmitter 110to the receiver 120. New dataset verification to blockchain network(servers) may be done by blockchain principles.

FIG. 11 illustrates an example of definitions for signaling data,according to an example embodiment. The signaling table of FIG. 11 maybe used to indicate information relating to surrounding data of thefirst and/or the at least one second portion. The first column mayindicate an observation direction. For example, a value “0” of the firstsignaling bit may indicate that the following signaling data, e.g. bits,refers to data towards left from the portions associated with thesignaling data, for example the first portion. A value “1” of the firstsignaling bit may indicate that the following signaling data refers todata towards right from the portions associated with the signaling data.The following signaling data may indicate the data next to theassociated portion. For example, bits “00” may indicate that blocks orportions towards the observation direction until a next signaled block,e.g. a block associated with similar signaling data, are zeros (“0”content). Bits “11” may indicate that blocks or portions towards theobservation direction until a next signaled block are ones (“1”content). Bits “01” may indicate that blocks or portions towards theobservation direction until a next signaled block are not same as theportion associated with the signaling data. Bits “10” may indicate thatblocks or portions towards the observation direction until a nextsignaled block are the same as the portion associated with the signalingdata.

For example, the signaling data may indicate the location, for examplelocation 1, in a case where a dataset portion corresponding to location1 is to be transmitted in the first transmission. The control signalingpart can indicate information relating to surrounding data parts oflocation 1. For example, if the locations 2, 3, 4, 5, 6, 7, 8, 9 haveall zero bits (or one bits or similar bit stream), for example, thesignaling data may include an indication that dataset portions towardsright are zeros. After the first transmission, a second transmission maycomprise a dataset portion corresponding to location 10. After receivingthe second transmission the receiver 120 is able to reconstruct thedataset based on the received information comprising the first andsecond portions and the signaling data. Thus, the dataset can beefficiently indicated based on two transmissions.

FIG. 12 illustrates an example of transmission of datasets based onsignaling data, according to an example embodiment. Dataset 1 may bedivided into sixteen blocks, each block comprising four bits. Block 0may be transmitted as the first portion along with five signaling bits(1^(st) signaling transmission). Four signaling bits may indicate theblock number “0000”. The remaining signaling bits “000” may indicate theobservation direction to left and that content of next block in theobservation direction are zeros (MSB 0=observation direction to left,LSBs 00=next block(s) content zeros). As illustrated in FIG. 12, one ofthe three remaining bits may indicate the observation direction. Two ofthe remaining bits may comprise a content indicator indicating forexample the content of the next blocks in the observation direction, asdescribed above. No further blocks or signaling need to be transmittedbecause the remaining blocks (Blocks 1 to 15) are zeros. Receiver isable to determine content of Dataset 1 based on Block 0 and thesignaling data.

Dataset 2 may be divided into sixteen blocks, each block comprising fourbits. Block 0 may be transmitted as the first portion along with sevensignaling bits (1^(st) signaling transmission). Four signaling bits mayindicate the block number “0000”. The remaining signaling bits mayindicate the observation direction to left and that content of nextblock in the observation direction are zeros (MSB 0=observationdirection to left, LSBs 00=next block(s) content zeros). Block 2 may betransmitted as the second portion along with seven signaling bits(2^(nd) signaling transmission). Four signaling bits may indicate theblock number “0010”. The remaining signaling bits may indicate theobservation direction to left and that content of next block (Block 3)in the observation direction is zeros (MSB 0=observation direction toleft, LSBs 00=next block(s) content zeros). Based on the transmission ofBlock 2, the receiver may determine that Block 2 is not zero. Theindication of the first signaling transmission about next block contentbeing zero may be interpreted as an indication that block(s) until nexttransmitted block are zeros. If not further transmissions are received,the receiver 120 may determine content of Dataset 2 based on the twotransmissions. Alternatively, receiver 120 may determine that Block 1was zeros because it was implicitly indicated in the signaling that nextblock is not same, i.e. content between received and next block (Block2) was zeros. The second signaling transmission indicated that nextblock includes zeros.

Dataset 3 may be divided into eight blocks, each block comprising eightbits. Block 0 may be transmitted as the first portion along with sevensignaling bits (1^(st) signaling transmission). Four signaling bits mayindicate the block number “0000”. The remaining signaling bits mayindicate the observation direction to left and that content of nextblock in the observation direction are zeros (MSB 0=observationdirection to left, LSBs 00=next block(s) content zeros). No furtherblocks or signaling need to be transmitted because the remaining blocks(Blocks 1 to 7) are zeros. Receiver is able to determine content ofDataset 1 based on Block 0 and the signaling data.

Dataset 4 may be divided into sixteen blocks, each block comprising fourbits. Block 15 may be transmitted as the first portion along with sevensignaling bits (1^(st) signaling transmission). Four signaling bits mayindicate the block number “1111”. The remaining signaling bits mayindicate the observation direction to right and that content of nextblock in the observation are zeros (MSB 1=observation direction toright, LSBs 00=next block(s) content zeros). Block 0 may be transmittedas the second portion along with seven (or just four) signaling bits(2^(nd) signaling transmission). Four signaling bits may indicate theblock number “0000”. The remaining signaling bits may be set to anyvalue since the Block 0 is the last block in the observation directionand the receiver 120 is aware of the size of the dataset. Alternatively,the three remaining signaling bits may not be transmitted. Based on thetransmission of Block 0, the receiver may determine that Block 0 is notzero. The indication of the first signaling transmission about nextblock content being zero may be interpreted as an indication thatblock(s) until next transmitted block are zeros. Since Block 0 is thelast block, the receiver 120 may determine content of Dataset 2 based onthe two transmissions. Alternatively, the transmitter may indicate alongwith Block 15 that next block(s) are not the same. Receiver 120 maydetermine that blocks between Block 15 and Block 0 are zeros based on animplicit indication in signaling, for example based on an agreement thatin case of such signaling all blocks between the signaled blocks arezeros. More signaling dimension may be get for example if agreed that ifall blocks between two blocks are zeros we read towards left, and if allbetween two blocks are ones we read towards right.

Dataset 5 may be initially divided into eight blocks, each blockcomprising eight bits. Block 0 may be transmitted as the first portionalong with seven signaling bits (1^(st) signaling transmission). Foursignaling bits may indicate the block number “0000”. The remainingsignaling bits may indicate the observation direction to left and thatcontent of next block in the observation direction is not same (MSB0=observation direction to left, LSBs 01=next block(s) content notsame). The receiver may determine granularity be eight blocks based onthe received block size and the known size of the dataset. Granularitymay be changed dynamically to sixteen blocks, for example if the end ofthe next block with the lower granularity contains many zeros. In thatcase the transferred bit amount can be reduced by increasing thegranularity to sixteen blocks. Block 2 may be transmitted as the secondportion along with seven signaling bits (2^(nd) signaling transmission).Four signaling bits may indicate the block number “0010”. The receiver120 may determine the granularity and location of the received blockbased on the size of the received block. The remaining signaling bitsmay indicate the observation direction to left and that content of nextblock in the observation direction is zeros (MSB 0=observation directionto left, LSBs 00=next block(s) content zeros)). No further blocks orsignaling need to be transmitted because the remaining data towards leftare zeros. Receiver is able to determine content of Dataset 5 based onBlock 0 (lower granularity) and Block 2 (higher granularity) and thesignaling data. An alternative way in case of Dataset 5 would be todivide the dataset into four blocks of sixteen bits. In that case, thetransmitter 110 could transmit the longer Block 0 as the first portionand indicate that following content is zeros with signaling bits “000”.

Note that above example embodiments are provided to describe somealternatives for transmission of blocks and signaling data. For example,more granularity can be achieved by adding more signaling bits. A targetof the signaling is to minimize transmission of redundant orself-evident over radio interface. Signaling provides the benefits ofavoiding redundant information transmission, avoiding transmission ofinformation which may be indicated in a shorter way, and avoidingtransmission of information which may be derived implicitly based ondirect signaling and direct information content (e.g. block content).Rules interpreting the signaling and the information (block content) andhow they are applied may be known both at the transmitter 110 and thereceiver 120. Note that when the transmitter 110 or the receiver 120changes the interpretation rule, the rule may be shared between thetransmitter 110 and receiver 120 for future purposes. The interpretationrule may be changed also based on network load circumstances. Forexample, when network capacity is updated to be able to handle moreincoming data, the interpretation rule may be changed to admit longerportion lengths than earlier.

According to an example embodiment, when the partial data transmissionincludes provision of the signaling data, as illustrated in FIG. 12, thereceiver may be configured or requested to provide feedback, asdiscussed above.

FIG. 13 illustrates an example of partial data transmission between auser equipment and a base station, according to an example embodiment.

At 1301, the UE 210 may establish a connection with eNB 220. Theconnection establishment may comprise a random access phase. Forexample, UE 210 may transmit a random access (RA) preamble, which maytake various formats and which may for example comprise a signatureidentifying the UE 210. In general, the random access procedure maycomprise a connection request to the eNB. The RA preamble may betransmitted for example on a physical random access channel (PRACH) andit may be used to obtain uplink synchronization between UE 110 and eNB210 and to obtain resources for transmitting further data. Afterestablishment of the connection the UE 210 may be in a connected state.

At 1302, the UE 210 may determine that it has data to be transmitted toeNB 220. For example, UE 210 may determine that it has received adataset for transmission. The UE 210 may further transmit a schedulingrequest (SR) to the eNB 220 in order to request uplink transmissionresources for the data transmission. As discussed above, the UE 210 maydetermine to transmit a portion of the data. Hence, the UE 210 mayrequest uplink resources for the first portion of the dataset. Thescheduling request may be transmitted for example on a physical uplinkcontrol channel (PUCCH).

At 1303, the eNB may respond to the scheduling request by transmittingan uplink (UL) grant to the UE 210. The uplink grant may be determinedbased on the scheduling request, for example based on an amount of datato be transmitted, which may be dependent on the size of the firstportion of the dataset. The UL grant may indicate to transmissionresources allocated to UE 210 for uplink transmission. The UL grant maybe transmitted on a physical downlink control channel (PDCCH).

At 1304, the UE 210 may transmit the first portion, or block, using theuplink resources indicated in the UL grant received at 1303. The firstportion may be transmitted as payload data, for example on a physicaluplink shared channel (PUSCH). Also the signaling data may be includedin the payload data If the UE 210 already knows that at least one secondportion of the dataset is to be transmitted, it may further send anotherscheduling request to the eNB 220. The eNB 220 may receive the firstportion and determine whether more data is needed to recognize thedataset. Alternatively, the first portion and the signaling dataassociated with the first portion may be included in signaling dataportion of the uplink communication protocol. Therefore, the firstportion may comprise user data (e.g. portion of the dataset) and notsignaling data. Alternatively, the first portion may comprise user dataand not the signaling data. The first portion may be included as payloaddata, for example in the uplink transmission. Alternatively, the firstportion may be included in signaling data of the transmission protocol,for example the uplink transmission protocol. The same approach(es) maybe applied in case of the at least one second portion.

At 1305, if more data is needed, the eNB 220 may transmit another uplinkgrant to allocate uplink transmission resources for at least one secondportion of the dataset. Therefore the UE 210 may not need to transmit ascheduling request for the second and further portions of the dataset,which saves both power at the UE 210 and radio resources.

At 1306, the UE 210 may transmit another portion or block of the datasetusing the resources allocated in the latest received uplink grant. Theprocedure may be repeated until the eNB 220 determines that is hassuccessfully recognized the dataset. In response to determining that thedataset has been successfully received, the eNB 220 may determine not totransmit another uplink grant to UE 210. If the UE 210 does not receiveanother uplink grant, it may determine that eNB 220 has successfullyrecognized the dataset and may terminate transmission of the dataset.For example, the UE 210 may refrain from transmitting further schedulingrequests to eNB 220 for transmitting portions of the same dataset.

Even though FIG. 13 illustrates the partial data transmission to takeplace after establishment of a connection between UE 210 and eNB 220, itis understood that there may be various other approaches. For example,UE 210 may transmit the first and/or at least one second portion alreadyin an earlier phase to reduce signaling needs. The first and/or at leastone second portion may be for example transmitted in the random accessphase, for example in the RA preamble.

One way to save battery may be to use a wake-up receiver in thetransmitter 110, for example UE 210. The wake-up receiver may be a verylow power consumption receiver which may wake-up when a wake-up signalis received. Hence, there is no need for UE 120 to wake up periodically,for example to listen PDCCH scheduling. Receiving the wake-up signal maybe considered as an indication to the UE 210 that it may send data. Whenthe UE 210 receives the wake-up signal, it may transmit the firstportion. When the transmitter 110 receives further wake-up signal(s), itmay transmit the at least one second portion. The receiver 120 may alsocontain a wake-up receiver. The transmitter 110 may start transmissionusing the wake-up signal, which may cause the receiver 120 to wake-up.After wake-up signal transmission the transmitter 110 may transmit thefirst portion. The wake-up signal transmission may itself contain thefirst portion transmission, and further portions may be transmittedlater on. The wake-up signal may be dedicated to a certain transmitter110. For example, the wake-up signal may comprise an indication of whichtransmitter 110 it belongs to. For example, the wake-up signal maycomprise an identifier of the transmitter 110. This reduces the need fordata transmission between the transmitter 110 and the receiver 120. Italso reduces power consumption at the transmitter 120, which may need totransmit the wake-up signal including the first portion.

FIG. 14 illustrates an example of a block diagram of an apparatus,according to an example embodiment. The apparatus 1400 may for examplecomprise transmitter 110. The apparatus may comprise transmitter and/orreceiver circuitry 1402, for example baseband and radio frequencycircuitry, antenna(s), or the like, to enable apparatus 1400 to transmitand/or receive data. The apparatus 1400 may further comprise a processor302 which may have access to various information such as for example alist of message recipients 1402, battery level indicator 1404,positioning information 1406, or the like. The processor 302 may controla dataset partitioning function 1408, which may have differentconfigurations for different types of data such as for example imagedata 1410, text data 1412, or video data 1414. The apparatus 1400 mayfurther store one or more messages 1420, for example received messages1422 and/or transmitted messages 1424. The apparatus 1400 may be forexample configured to keep log(s) of transmitted messages, receivedmessages, and/or other operations.

Partitioning of datasets may be based on content type of the dataset.For text data 1412, for example a text stream, the apparatus 1400 may beconfigured to select a portion of the text data, which provides best orsufficient likelihood for recognition. For example, rare words whichdifferentiate the text data from other text data may be selected as thefirst portion for transmission. The following portions may be selectedin a similar fashion. For example the second rarest word may be selectedfor the next transmission, if needed. Also relative locations of wordsin the text data may be used as criteria for selecting portion(s) of thetext data.

For image data, the apparatus 1400 may be configured to select a portionof the image that provides best or sufficient likelihood for recognizingthe image. For example, if the image represents a face, a portionincluding an eye may be selected for the first transmission. A nose, orother parts of the face may be selected for further transmission(s), ifneeded. The transmitter 110 and receiver 120 may be configured withrules indicating order of transmission for the different parts of theface. In addition, it is worth to note that dataset splitting to smallerportions is applicable for any media formats, which include bit formatpresentations or are otherwise presentable and transferable from deviceto device using wired or wireless connection.

Different partitioning methods for text and image data may be used. Thesignalling data may comprise an indication of the type of the datasetand/or a purpose for the dataset, for example in the case that apparatus1400 is multi-purpose device which is configured to send different typesof information. If the apparatus 1400 is dedicated for face recognitionpurposes, the purpose is already known at the transmitter side. However,if the receiver is a multi-purpose device, the signaling data may beused to indicate the type and/or purpose of the dataset to the receiver120. An indication of the type and/or purpose of the dataset maycomprise and identifier of apparatus 1400. For example, the receiver 120may determine the type and/or purpose of the dataset based on anidentifier of an IoT device. In this case, type or purpose of thedataset may be indicated without additional signaling.

The data partitioning function may operate according to preconfiguredrules. The rules may be preconfigured at transmitter 110 and receiver120. Alternatively, the partitioning logic, for example the mappingbetween battery levels and data portion sizes, may be communicated fromthe transmitter 110 to the receiver 120.

FIG. 15 illustrates an example of a message log stored at an apparatus,according to an example embodiment. There are examples of two chains ofmessages. Server may be also other device like mobile device. Themessage log may be stored in any suitable format and may for examplecomprise a table with columns for indicating at least one of: an IoTdevice ID, has an IoT device received the request message, or not, fromserver, a destination where the portion of dataset message has beentransmitted to, an order of the portion of the dataset message in thechain, an indication of where the message was received from (no meansnot received), a number of sent messages in the chain, a battery levelassociated with sending the portion of dataset message, an identifier ofa chain associated with the message, a time of receiving the messagefrom server, a type of the message, a size of the dataset message,content of the message such as for example a bit sequence, a total sizeassociated with dataset messages sent for a particular dataset or chain,or indication of termination of the chain, for example relating totermination of exchange of communication of transmitter with serverafter enough parts of dataset have been received.

Messages may be associated with a chain. Transmissions associated with adataset may be included in one chain. A transmitter 110 may transmit oneor more chains, for example sequentially or in parallel. The first rowof the table may for example indicate that the first message (Order ofmsg=1) is associated with a low battery level (15%) and that it belongsto a chain “Text1000”. The log may further indicate that the firstmessage was sent on 01012020-20:00:36, the size of the message “ 1/10”relative to the size of the dataset. The last column may indicatewhether the transmission of the messages in the chain continued within30 s.

The second row of the table may for example indicate that the batterylevel has remained at 15% and that upon transmission of the secondmessage the total size of transmitted messages is “ 2/10”. The secondrow may further indicate that the request message of requesting furtherportion of dataset was received from Server 1, and that the responsemessage was transmitted from device A1. The second row may furtherindicate that the request message was received at 01012020-20:00:46 atdevice A1 and that response message was answered and sent at01012020-20:00:56 to Server 1. Further it is indicated that they arebelonging to same chain.

The third row of the table may for example indicate that thetransmission was terminated after the third message was sent fromtransmitter, because the further request message was not received beforetermination time at 01012020-20:00:46 which is not within 30 s from theprevious message sent at 20:00:16 in the same chain Text1000.

The fourth row depicts a new message of dataset relating to chainText1001. In that case the size 1/10 has been enough data needed inserver as there is no request message received from the Server 1 withinthe termination time and therefore there are no additional messages inthe chain.

The table of FIG. 15 may be used to keep track of messagestransmitted/received to/from different devices, for example to enablesfollowing ongoing transmission chains. Furthermore, the receiver 120 maybe configured to interpret absence of transmission of a dataset, aportion of the dataset, and/or signaling data at a particular time in aparticular way.

The time what the interval of the response message and request messageor what the termination time should be, can be adjusted based on thedifferent needs. Sometimes one second or even some parts of it can beenough, 10 ms or less as round trip time, for example, depending ontechnology used, 4G or 5G, for example.

FIG. 16 illustrates an example of a method 1600 for partial datatransmission, according to an example embodiment.

At 1601, the method may comprise receiving, at a transmitter, at leastone dataset for transmission to a receiver, wherein the datasetcomprises at least one of a plurality of datasets known to thetransmitter and the receiver or to be signaled to the receiver.

At 1602, the method may comprise determining a first portion of the atleast one dataset, wherein a size of the first portion is determinedbased on at least one of: a battery level indicator, a latency levelassociated with the dataset, a security level associated with thedataset, a radio condition, or a network load.

At 1603, the method may comprise transmitting the first portion to thereceiver.

FIG. 17 illustrates an example of a method 1700 for partial datareception, according to an example embodiment.

At 1701, the method may comprise receiving, at a receiver, a firstportion of a dataset and/or at least one second portion of the dataset.

At 1702, the method may comprise recognizing the dataset based oncomparing the first portion and/or the at least one second portion to aplurality of datasets stored at the receiver.

Further features of the methods directly result from the functionalitiesand parameters of the transmitter 110 such as for example an IoT device210 or 212, or receiver 120 such as for example an eNB 220, as describedin the appended claims and throughout the specification. Differentvariations of the methods may be also applied, as described inconnection with the various example embodiments.

The above methods may be exploited in various types of applications. Forexample, as mentioned above, a face may be recognized based on an eye,which may be provided as the first portion of the image. An eye of animage may be detected based on pixel data. The eye may be divided intopixels. If receiver 120 knows that question is about an eye, it maystart face recognition by comparing the eyes of different faces. Thereceiver 120 may know or detect where the eye is located in each facialimage. Additional signaling data may be also provided for indicating alarger area (e.g. in pixels) where the eye is located, for example bysignaling xy-coordinates of the eye. The location of the eye may in somecases enable recognition of the face, if eyes are not located at thesame place in other faces. In one example, the dataset may comprise animage of a face and the first portion may comprise an eye. In anotherexample, the dataset may comprise an image of an eye or a face and thefirst portion may comprise an iris of the eye. A second portion maycomprise rest of the eye.

Object recognition may be also based on applying a rough recognitionwhen differentiating different objects from each other. For example, itmay be sufficient to transmit pixels that make difference betweenobjects. In this case, the receiver 120 may be configured with an imagelibrary or rule(s), which enable to make decisions when sufficient pixelinformation has been delivered from the transmitter 110 to the receiver120. This approach may be applied even if transmitter 110 and receiverdo not have exactly same datasets, but sufficient data for verification.

In case of three-dimensional (3D) content, the first portion maycomprise a portion of a 3D object, for example a volume with apreconfigured or signaled xyz-location. For example, the first portionmay comprise a particular part from a human body, such as for examplethe heart or a portion of the heart, which may be for example undermonitoring in a medical application.

Example embodiments provide a partial data transmission system, wheretotal amount of information to be transmitted may be divided intoportion where granularity of the portions depend on battery/energy levelor estimated battery/energy level of the transmitter 110. This isbeneficial for the transmitter 110, for example because when batterylevel is low the transmitter may try to get a message through usingsmaller portion(s). In addition, this also saves receiver battery sincethe receiver 120 receives smaller information parts during a shortertime. When this functionality is built in addition to DRX (discontinuousreception) operation, the receiver 120 needs to be in active mode even ashorter time, which may further increase the power saving at receiver120.

An apparatus, for example transmitter 110 or receiver 120 may beconfigured to perform or cause performance of any aspect of themethod(s) described herein. Further, a computer program may compriseinstructions for causing, when executed, an apparatus to perform anyaspect of the method(s) described herein. Further, an apparatus maycomprise means for performing any aspect of the method(s) describedherein. According to an example embodiment, the means comprises at leastone processor, and memory including program code, the at least oneprocessor, and program code configured to, when executed by the at leastone processor, cause performance of any aspect of the method(s).According to an example embodiment a system may comprises a firstapparatus configured to perform method 1500 and a second apparatusconfigured to perform method 1600. According to an example embodiment,the system may comprise the transmitter 110 and the receiver 120.

According to an example embodiment, an apparatus may comprise means forreceiving at least one dataset for transmission, wherein the datasetcomprises at least one of a plurality of datasets; means for determininga first portion of the at least one dataset, wherein a size of the firstportion is based on at least one battery level indicator; means fortransmitting the first portion to another apparatus; means of receivingfeedback from the other apparatus; and means for performing at least oneoperation based on the feedback or absence of the feedback, wherein theat least one operation comprises transmitting at least one secondportion of the dataset or terminating transmission of the dataset.

Any range or device value given herein may be extended or alteredwithout losing the effect sought. Also, any embodiment may be combinedwith another embodiment unless explicitly disallowed.

Although the subject matter has been described in language specific tostructural features and/or acts, it is to be understood that the subjectmatter defined in the appended claims is not necessarily limited to thespecific features or acts described above. Rather, the specific featuresand acts described above are disclosed as examples of implementing theclaims and other equivalent features and acts are intended to be withinthe scope of the claims.

It will be understood that the benefits and advantages described abovemay relate to one embodiment or may relate to several embodiments. Theembodiments are not limited to those that solve any or all of the statedproblems or those that have any or all of the stated benefits andadvantages. It will further be understood that reference to ‘an’ itemmay refer to one or more of those items.

The steps or operations of the methods described herein may be carriedout in any suitable order, or simultaneously where appropriate.Additionally, individual blocks may be deleted from any of the methodswithout departing from the scope of the subject matter described herein.Aspects of any of the embodiments described above may be combined withaspects of any of the other embodiments described to form furtherembodiments without losing the effect sought.

The term ‘comprising’ is used herein to mean including the method,blocks, or elements identified, but that such blocks or elements do notcomprise an exclusive list and a method or apparatus may containadditional blocks or elements.

As used in this application, the term ‘circuitry’ may refer to one ormore or all of the following: (a) hardware-only circuit implementations(such as implementations in only analog and/or digital circuitry) and(b) combinations of hardware circuits and software, such as (asapplicable): (i) a combination of analog and/or digital hardwarecircuit(s) with software/firmware and (ii) any portions of hardwareprocessor(s) with software (including digital signal processor(s)),software, and memory(ies) that work together to cause an apparatus, suchas a mobile phone or server, to perform various functions) and (c)hardware circuit(s) and or processor(s), such as a microprocessor(s) ora portion of a microprocessor(s), that requires software (e.g.,firmware) for operation, but the software may not be present when it isnot needed for operation. This definition of circuitry applies to alluses of this term in this application, including in any claims.

As a further example, as used in this application, the term circuitryalso covers an implementation of merely a hardware circuit or processor(or multiple processors) or portion of a hardware circuit or processorand its (or their) accompanying software and/or firmware. The termcircuitry also covers, for example and if applicable to the particularclaim element, a baseband integrated circuit or processor integratedcircuit for a mobile device or a similar integrated circuit in server, acellular network device, or other computing or network device.

It will be understood that the above description is given by way ofexample only and that various modifications may be made by those skilledin the art. The above specification, examples and data provide acomplete description of the structure and use of exemplary embodiments.Although various embodiments have been described above with a certaindegree of particularity, or with reference to one or more individualembodiments, those skilled in the art could make numerous alterations tothe disclosed embodiments without departing from scope of thisspecification.

Examples in paragraphs e.g. 0038, 0039, 0046, 0053, 0084 and 0085 inpriority application may comprise at least the following examples 1and/or 2.

Example 1. A device, comprising:

at least one processor; and at least one memory including computerprogram code, wherein the at least one memory and computer program codeare configured, with the at least one processor, to cause the device toperform the following:

monitor by a device one or more passing objects;

detect at least one or more portions of the one or more passing objects;

recognize from the at least one or more portions of the one or morepassing objects at least one or more identifiers, and

transmit at least one or more portions of the at least one or moreidentifiers to a receiver, wherein the at least one or more portionsis/are known to at least one of the device and/or a receiver.

Example 2. A device, comprising:

at least one processor; and at least one memory including computerprogram code, wherein the at least one memory and computer program codeare configured, with the at least one processor, to cause the device toperform the following:

monitor by a device one or more passing objects;

detect at least one or more portions of the one or more passing objects;

transmit at least one or more portions to a receiver, wherein at leastone or more identifiers is/are recognizable from the at least one ormore portions; and wherein the at least one or more identifiers areknown at the device and at the one or more passing receiver.

A device of example 2 wherein the portion may comprise a part of aserial number or a part of the identifier/s.

A device of example 2 wherein the identifier/s may comprise a serialnumber or numbers.

A device of example 2 wherein the device is configured to receive aportion of the identifiers from the passing object.

A device of example 2 wherein the device is configured to recognize theidentifier/s based on the portion which comprises a part of the serialnumber.

Finding highest priority dataset for transmission. Selecting it.Defining first portion from it based on battery level indicator.Transmitting first portion.

Examples in paragraph e.g. 0055 in priority application may comprise atleast the following example 3.

Example 3. An apparatus, comprising: at least one processor; and atleast one memory including computer program code, wherein the at leastone memory and computer program code are configured, with the at leastone processor, to cause the apparatus to perform the following:

receive, at the apparatus, at least one dataset for transmission to areceiver, wherein the at least one dataset comprises at least one of aplurality of datasets known to at least one of the apparatus and/or thereceiver or to be signaled to the receiver;

determine a transmission priority order between the plurality ofdatasets;

determine a dataset for transmission based on the priority order;

determine a size of a first portion from the determined dataset; and

transmit the first portion to the receiver.

The apparatus of the example 3, wherein the priority order or the sizeof the first portion is configured to base on at least a battery levelindicator.

Examples in paragraphs e.g. 0074, 0082 and 0083 in priority applicationmay comprise at least the following example 4.

Example 4. An apparatus, comprising:

at least one processor; and at least one memory including computerprogram code, wherein the at least one memory and computer program codeare configured, with the at least one processor, to cause the apparatusto perform the following:

receive, at the apparatus, a first portion of a dataset from atransmitter;

recognize the dataset based on comparing the first portion to aplurality of datasets stored at the apparatus;

determine a feedback to the transmitter in response to receiving thefirst portion of the dataset;

the feedback determination is based on at least one of:

an apparatus battery level indicator;

an apparatus latency requirement for a dataset;

a transmitter battery level indicator;

a transmitter battery level indicator based on received size of thefirst portion of the dataset; and/or

a transmitter battery level indicator determination is based on a sizeof the first portion, wherein the size of the first portion changesbetween the receptions;

wherein the determined feedback comprising at least one of postponetransmission of the determined feedback; or send the feedback to thetransmitter.

For example, transmitter changed to apparatus i.e. keeping in oneentity.

Examples in paragraphs e.g. 0086 and 0115-0117 in priority applicationmay comprise at least the following example 5.

Example 5. An apparatus, comprising:

at least one processor; and at least one memory including computerprogram code, wherein the at least one memory and computer program codeare configured, with the at least one processor, to cause the apparatusto perform the following:

receive, at the apparatus, at least one dataset for transmission to areceiver, wherein the dataset comprises at least one of a plurality ofdatasets;

determine a content type of the dataset, wherein the content type of thedataset is at least one of:

a text stream, a video data or an image data,

determine a portion from the determined dataset, wherein the portion isdetermined based on at least one of:

a likelihood for recognition at the receiver,

a differentiative characteristic,

rare word,

a face, and/or

an eye,

select the portion, and

transmit the portion to the receiver.

Examples in paragraphs e.g. 0096-0103 in priority application maycomprise the following examples 6 and/or 7.

Example 6. An apparatus, comprising:

at least one processor; and at least one memory including computerprogram code, wherein the at least one memory and computer program codeare configured, with the at least one processor, to cause the apparatusto perform the following:

divide a dataset to at least one block, wherein a size of the block isdetermined based on at least one of:

a battery level indicator,

a latency level associated with the dataset,

a security level associated with the dataset,

a radio link condition,

a network load,

the dataset content in an observation direction to left from the block,

the dataset content in an observation direction to right from the block,and/or

a dynamic block size change based on needed granularity with thedataset,

select the block, and

transmit the block.

Example 7. An apparatus, comprising:

at least one processor; and at least one memory including computerprogram code, wherein the at least one memory and computer program codeare configured, with the at least one processor, to cause the apparatusto perform the following:

determine a signaling data for a block in a dataset, wherein thesignaling data determination is based on the at least one of:

a block number within the dataset,

an observation direction to left from the block,

an observation direction to right from the block,

the dataset content before or after the block is zero(s),

the dataset content before or after the block is one(s), and/or

the dataset content in one or more next block(s) before or after theblock is substantially same as in the block,

select the signaling data, and

transmit the signaling data.

The invention claimed is:
 1. An apparatus, comprising: at least oneprocessor; and at least one memory including computer program code,wherein the at least one memory and computer program code areconfigured, with the at least one processor, to cause the apparatus to:receive, at the apparatus, at least one dataset for transmission to areceiver, wherein the at least one dataset comprises at least one of aplurality of datasets known to the apparatus and the receiver or to besignaled to the receiver; determine a first portion of the at least onedataset, wherein a size of the first portion is determined based on atleast one of: a battery level indicator, a latency level associated withthe at least one dataset, a security level associated with the at leastone dataset, a radio link condition, or a network load, determine alocation of the first portion, such that the first portion is uniquewithin the plurality of datasets at the determined location; transmitthe first portion to the receiver; and transmit the at least onedataset, in response to determination that an estimate of a requiredcapacity for transmission of the first portion and at least one secondportion exceeds an estimate of a required capacity for transmitting theat least one dataset; or transmit the at least one second portion inaddition to the first portion, in response to determination that thefirst portion is not unique within the plurality of datasets and that acombination of the first portion and the at least one second portion isunique within the plurality of datasets.
 2. The apparatus according toclaim 1, wherein the at least one memory and computer program code arefurther configured, with the at least one processor, to cause theapparatus to: receive feedback from the receiver; and perform at leastone operation based on a feedback or absence of the feedback, whereinthe at least one operation comprises transmission of the at least onesecond portion of the at least one dataset or termination oftransmission of the at least one dataset.
 3. The apparatus according toclaim 1, wherein the size of the first portion is determined based onthe battery level indicator, and wherein the battery level indicatorcomprises at least one of: a charge level of the battery; estimatedbattery usage before a charging opportunity; estimated battery usage forthe transmission of the at least one dataset; estimated battery usagefor transmission of the first portion at current radio conditions or atcurrent network load level; or estimated battery usage under currentoperating conditions of the apparatus.
 4. The apparatus according toclaim 1, wherein the at least one memory and computer program code arefurther configured, with the at least one processor, to cause theapparatus to: determine the size of the first portion based on aplurality of battery level thresholds mapped to a correspondingplurality of data portion sizes.
 5. The apparatus according to claim 1,wherein the at least one memory and computer program code are furtherconfigured, with the at least one processor, to cause the apparatus to:transmit the plurality of datasets to the receiver.
 6. The apparatusaccording to claim 1, wherein the first portion comprises a new portionnot initially associated with the at least one dataset and wherein theapparatus is further caused to transmit an indication of the firstportion being the new portion not initially associated with the at leastone dataset.